This MarkTechPost tutorial breaks down the full stack of building a streaming voice agent — from chunked ASR to incremental LLM reasoning to real-time TTS — with explicit latency tracking at each stage. If you've wondered how products like GPT-4o voice or Gemini Live achieve that natural conversational feel, this is the architectural blueprint worth studying.
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How to Design a Fully Streaming Voice Agent with End-to-End Latency Budgets, Incremental ASR, LLM Streaming, and Real-Time TTS
In this tutorial, we build an end-to-end streaming voice agent that mirrors how modern low-latency conversational systems operate in real time. We simulate the complete pipeline, from chunked audio input and streaming speech recognition to incremental language model reasoning and streamed text-to-speech output, while explicitly tracking latency at every stage. By working with strict latency […] The post How to Design a Fully Streaming Voice Agent with End-to-End Latency Budgets, Incrementa
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